On September 18, 2025 NVIDIA and Intel announced a strategic collaboration to jointly develop multiple generations of custom data center and personal computing products designed to accelerate workloads across hyperscale, enterprise and consumer markets. The companies said they will focus on tightly connecting NVIDIA and Intel architectures using NVIDIA NVLink, integrating NVIDIA’s Artificial Intelligence and accelerated computing capabilities with Intel’s CPU technologies and the broader x86 ecosystem.
Under the agreement Intel will design and manufacture NVIDIA-custom x86 CPUs for data center use that NVIDIA will integrate into its Artificial Intelligence infrastructure platforms and distribute to the market. For personal computing, Intel will build and offer x86 system-on-chips that integrate NVIDIA RTX GPU chiplets. The release describes these x86 RTX SOCs as intended to power a wide range of PCs that require tightly integrated CPU and GPU performance.
The companies also said NVIDIA will make an equity investment in Intel common stock, but the press release lists the investment amount and the per-share purchase price as Not stated. The investment and the broader collaboration are subject to customary closing conditions including required regulatory approvals. NVIDIA and Intel scheduled a webcast press conference for 10 a.m. Pacific time, 1 p.m. Eastern time the same day to discuss the announcement and provide additional details.
Both CEOs provided statements positioning the deal as foundational for the next era of computing. Jensen Huang, founder and CEO of NVIDIA, described the collaboration as tightly coupling NVIDIA’s Artificial Intelligence and accelerated computing stack with Intel’s CPUs and the x86 ecosystem. Lip-Bu Tan, CEO of Intel, emphasized Intel’s x86 heritage, manufacturing and advanced packaging capabilities as complementary to NVIDIA’s technology. The release also includes forward-looking disclaimers from both companies noting risks and uncertainties such as timing, regulatory clearance, manufacturing dependencies and market acceptance that could affect outcomes.
